← cantara.no

INDIVIDUAL MCP TOOL

kcp_plan

Produce a deterministic, inspectable load plan for a task against a KCP knowledge.

cantara.nonone authenticationAvailability not checked

LIVE ENDPOINT

https://mcp.cantara.no/mcp

No auth detected

Connect to this endpoint to inspect the live schema for kcp_plan and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

cantara.no

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.kcp-agent]
url = "https://mcp.cantara.no/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "kcp-agent": {
      "type": "http",
      "url": "https://mcp.cantara.no/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: kcp-agent
Remote MCP URL: https://mcp.cantara.no/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "kcp-agent": {
      "url": "https://mcp.cantara.no/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "kcp-agent": {
      "type": "http",
      "url": "https://mcp.cantara.no/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "kcp-agent",
  "transport": "streamable-http",
  "url": "https://mcp.cantara.no/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • kcp_load — Plan (as kcp_plan) and then return the CONTENT of the load-eligible units, so the calling agent can answer the task from exactly the knowledge a deterministic planner selected.
  • kcp_validate — Validate (lint) a knowledge.
  • kcp_trace — Produce a decision trace for a task: every unit in the manifest annotated with the gate cascade it was evaluated through (audience, temporal, relevance, budget, context, etc.
  • kcp_replay — Cross-examine a saved plan artifact (the JSON returned by kcp_plan): re-fetch each manifest, compare its sha256 to the pinned one, re-run the pure planner from the echoed inputs, and report identical or drifted per manifest — with the fields that moved.